Hybrid BCI system to operate an electric wheelchair and a robotic arm for navigation and manipulation tasks

Fred Achic, Jhon Montero, Christian Penaloza, Francisco Cuellar

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

38 Citas (Scopus)

Resumen

This research proposes an integral system combining a hybrid BCI interface and shared control system for navigation and manipulation applications. In particular, the system consists of an electrical wheelchair with an embedded robotic arm that can assist a user to achieve essencial tasks such as picking up a cup of water. The proposed system uses a graphic interface that allows the user to select the possible control tasks through EEG signals based of steady state visual evocked potentials (SSVEP). On the other hand, the wheelchair is controlled by cervical movements related to head movement obtained by inertial sensors that assign navigation commands to the wheelchair, while ultrasonic sensors allow obstacle detection. Experimental results demonstrate the viability of the system and potential use as assistive technology for patients with motor paralysis conditions.

Idioma originalInglés
Título de la publicación alojada2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016
EditorialIEEE Computer Society
Páginas249-254
Número de páginas6
ISBN (versión digital)9781509040773
DOI
EstadoPublicada - 4 nov. 2016
Evento2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016 - Shanghai, China
Duración: 7 jul. 201610 jul. 2016

Serie de la publicación

NombreProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
Volumen2016-November
ISSN (versión impresa)2162-7568
ISSN (versión digital)2162-7576

Conferencia

Conferencia2016 IEEE Workshop on Advanced Robotics and its Social Impacts, IEEE ARSO 2016
País/TerritorioChina
CiudadShanghai
Período7/07/1610/07/16

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